ExamAdept

How do you reshape a NumPy array arr into a single-dimensional array?

A:

arr.reshape((1, -1))

B:

arr.flatten()

C:

arr.reshape((-1, 1))

D:

arr.ravel()

Answer: D

The arr.ravel() function flattens the array into a single-dimensional array.

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How can you create a NumPy array filled with zeros of shape (4, 4)?

A:

np.zeros((4, 4))

B:

np.ones((4, 4))

C:

np.empty((4, 4))

D:

np.full((4, 4), 0)

Answer: A

The np.zeros() function creates an array filled with zeros of the specified shape.

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Given a NumPy array arr = np.array([[1, 2, 3], [4, 5, 6]]), what does arr.shape return?

A:

(2, 3)

B:

(3, 2)

C:

(2,)

D:

(3,)

Answer: A

The arr.shape attribute returns the dimensions of the array.

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What is the result of the expression np.linspace(0, 1, 5, endpoint=False)?

A:

[0.0, 0.2, 0.4, 0.6, 0.8]

B:

[0.0, 0.25, 0.5, 0.75, 1.0]

C:

[0.0, 0.1, 0.2, 0.3, 0.4]

D:

[0.0, 0.2, 0.4, 0.6, 0.8, 1.0]

Answer: A

The expression generates an array with values from 0.0 to 1.0 (exclusive) with a step of 0.2 and excludes the endpoint.

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How can you extract the diagonal elements from a NumPy array arr?

A:

np.diagonal(arr)

B:

arr.extract_diagonal()

C:

arr.get_diagonal()

D:

np.diag(arr)

Answer: A

The np.diagonal() function extracts the diagonal elements from the array.

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Questions for: Arrays